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Results comparison of cervical cancer early detection using cerviray ® with VIA test
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On the Investigation of Effective Factors on Electronic Structure Properties of Transition Metal Complexes: Robust Modeling Using GPR Approach
Published 2022-01-01“…Moreover, the sensitivity of output to inputs was measured. Artificial intelligence (AI) helped accurately predict the target values through various input ranges.…”
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Risk of Stroke Associated with Temperature and PM2.5: Taiwan Stroke Registry-based Study
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Hepatitis C Virus–Pediatric and Adult Perspectives in the Current Decade
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Smell-ML: A Machine Learning Framework for Detecting Rarely Studied Code Smells
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Insurance with telematics as an insurance market driver: regulation and prospects
Published 2022-12-01“…However, the possibilities of introducing artificial intelligence and big data (AI and DB) into the regulated sphere, which is insurance, are usually limited compared to unregulated sectors. …”
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Being young and resilient in times of AI, disasters, and crises
Published 2025-02-01“…An exemplary case is the unregulated widespread use of artificial intelligence (AI) by students to complete tasks, which diminishes critical thinking and reduces significant cognitive engagement. …”
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Addressing 6 challenges in generative AI for digital health: A scoping review.
Published 2024-05-01“…Generative artificial intelligence (AI) can exhibit biases, compromise data privacy, misinterpret prompts that are adversarial attacks, and produce hallucinations. …”
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The Efficacy of Conversational AI in Rectifying the Theory-of-Mind and Autonomy Biases: Comparative Analysis
Published 2025-02-01“… BackgroundThe increasing deployment of conversational artificial intelligence (AI) in mental health interventions necessitates an evaluation of their efficacy in rectifying cognitive biases and recognizing affect in human-AI interactions. …”
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Development of Deep Learning-Based Algorithm for Extracting Abnormal Deceleration Patterns
Published 2025-01-01“…In order to solve this problem, various deep learning-based algorithms have been developed to provide driving stability by learning the driving data. Among those artificial intelligence algorithms, anomaly detection algorithms can successfully separate the deceleration data in abnormal driving situations, and the resulting refined deceleration data can be used to train the regression model to achieve better driving stability. …”
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Multiple Adversarial Domains Adaptation Approach for Mitigating Adversarial Attacks Effects
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LEGAL AND COMPLIANCE RISKS OF NEW TECHNOLOGIES
Published 2024-07-01“…For example, being vulnerable to cyber-attacks, hosting artificial intelligence. Some technological risks, on the other hand, may be caused by the characteristics of technological tools as well as the lack of awareness of the employees using these tools. …”
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Long Memory of Pathfinding Aesthetics
Published 2009-01-01“…The results we report are important firstly because the artificial intelligence literature has given relatively little attention to aesthetic considerations in pathfinding. …”
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Few-shot Learning: Methods and Applications
Published 2025-01-01“…This approach leverages methods involving meta-learning, transfer learning, and data augmentation to boost the model's ability to recognize new categories. In many areas of artificial intelligence, obtaining large annotated datasets is often high in financial demand and extensively time-consuming, particularly in specialized fields with limited data availability. …”
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